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Reconstructing 2D freehand Ultrasound (US) frames into 3D space without using a tracker has recently seen advances with deep learning. Predicting good frame-to-frame rigid transformations is often accepted as the learning objective,…

Image and Video Processing · Electrical Eng. & Systems 2024-10-22 Qi Li , Ziyi Shen , Qianye Yang , Dean C. Barratt , Matthew J. Clarkson , Tom Vercauteren , Yipeng Hu

Three-dimensional (3D) Ultrasound (US) can facilitate diagnosis, treatment planning, and image-guided therapy. However, current studies rarely provide a comprehensive evaluation of volumetric accuracy and reproducibility, highlighting the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Lewis Howell , Manisha Waterston , Tze Min Wah , James H. Chandler , James R. McLaughlan

3D ultrasound (US) is widely used for its rich diagnostic information. However, it is criticized for its limited field of view. 3D freehand US reconstruction is promising in addressing the problem by providing broad range and freeform scan.…

Computer Vision and Pattern Recognition · Computer Science 2021-08-19 Mingyuan Luo , Xin Yang , Xiaoqiong Huang , Yuhao Huang , Yuxin Zou , Xindi Hu , Nishant Ravikumar , Alejandro F Frangi , Dong Ni

Three-dimensional (3D) freehand ultrasound (US) reconstruction without a tracker can be advantageous over its two-dimensional or tracked counterparts in many clinical applications. In this paper, we propose to estimate 3D spatial…

Image and Video Processing · Electrical Eng. & Systems 2023-09-06 Qi Li , Ziyi Shen , Qian Li , Dean C Barratt , Thomas Dowrick , Matthew J Clarkson , Tom Vercauteren , Yipeng Hu

Transrectal ultrasound (US) is the most commonly used imaging modality to guide prostate biopsy and its 3D volume provides even richer context information. Current methods for 3D volume reconstruction from freehand US scans require external…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 Hengtao Guo , Sheng Xu , Bradford Wood , Pingkun Yan

Ultrasound imaging is the most popular medical imaging modality for point-of-care bedside imaging. However, 2D ultrasound imaging provides only limited views of the organ of interest, making diagnosis challenging. To overcome this, 3D…

Image and Video Processing · Electrical Eng. & Systems 2023-02-17 Antony Jerald , A. N. Madhavanunni , Gayathri Malamal , Pisharody Harikrishnan Gopalakrishnan , Mahesh Raveendranatha Panicker

Three-dimensional (3D) freehand ultrasound (US) reconstruction without using any additional external tracking device has seen recent advances with deep neural networks (DNNs). In this paper, we first investigated two identified contributing…

Computer Vision and Pattern Recognition · Computer Science 2023-10-06 Qi Li , Ziyi Shen , Qian Li , Dean C. Barratt , Thomas Dowrick , Matthew J. Clarkson , Tom Vercauteren , Yipeng Hu

Ultrasound technology enables safe, non-invasive imaging of dynamic tissue behavior, making it a valuable tool in medicine, biomechanics, and sports science. However, accurately tracking tissue motion in B-mode ultrasound remains…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Praneeth Namburi , Roger Pallarès-López , Jessica Rosendorf , Duarte Folgado , Brian W. Anthony

Freehand 3D ultrasound (US) reconstruction promises volumetric imaging with the flexibility of standard 2D probes, yet existing tracking paradigms face a restrictive trilemma: marker-based systems demand prohibitive costs, inside-out…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Yi Zhang , Puxun Tu , Kun Wang , Yulin Yan , Tao Ying , Xiaojun Chen

Three-dimensional (3D) ultrasound (US) aims to provide sonographers with the spatial relationships of anatomical structures, playing a crucial role in clinical diagnosis. Recently, deep-learning-based freehand 3D US has made significant…

Image and Video Processing · Electrical Eng. & Systems 2025-06-23 Mingyuan Luo , Xin Yang , Zhongnuo Yan , Yan Cao , Yuanji Zhang , Xindi Hu , Jin Wang , Haoxuan Ding , Wei Han , Litao Sun , Dong Ni

Freehand three-dimensional ultrasound (3D-US) has gained considerable interest in research, but even today suffers from its high inter-operator variability in clinical practice. The high variability mainly arises from tracking inaccuracies…

Computer Vision and Pattern Recognition · Computer Science 2018-11-06 Rüdiger Göbl , Diana Mateus , Christoph Hennersperger , Maximilian Baust , Nassir Navab

The emergence of real-time 3D ultrasound (US) makes it possible to consider image-based tracking of subcutaneous soft tissue targets for computer guided diagnosis and therapy. We propose a 3D transrectal US based tracking system for precise…

Other Computer Science · Computer Science 2008-01-17 Michael Baumann , Pierre Mozer , Vincent Daanen , Jocelyne Troccaz

In contrast to 2-D ultrasound (US) for uniaxial plane imaging, a 3-D US imaging system can visualize a volume along three axial planes. This allows for a full view of the anatomy, which is useful for gynecological (GYN) and obstetrical (OB)…

Image and Video Processing · Electrical Eng. & Systems 2021-12-07 Jaeyoung Huh , Shujaat Khan , Sungjin Choi , Dongkuk Shin , Eun Sun Lee , Jong Chul Ye

Reconstructed 3D ultrasound volume provides more context information compared to a sequence of 2D scanning frames, which is desirable for various clinical applications such as ultrasound-guided prostate biopsy. Nevertheless, 3D volume…

Computer Vision and Pattern Recognition · Computer Science 2020-11-18 Hengtao Guo , Sheng Xu , Bradford J. Wood , Pingkun Yan

Ultrasound (US) is the most widely used fetal imaging technique. However, US images have limited capture range, and suffer from view dependent artefacts such as acoustic shadows. Compounding of overlapping 3D US acquisitions into a…

Ultrasound offers a radiation-free, cost-effective solution for real-time visualization of spinal landmarks, paraspinal soft tissues and neurovascular structures, making it valuable for intraoperative guidance during spinal procedures.…

Computer Vision and Pattern Recognition · Computer Science 2025-11-20 Miruna-Alexandra Gafencu , Yordanka Velikova , Nassir Navab , Mohammad Farid Azampour

We present a computational method for real-time, patient-specific simulation of 2D ultrasound (US) images. The method uses a large number of tracked ultrasound images to learn a function that maps position and orientation of the transducer…

Image and Video Processing · Electrical Eng. & Systems 2020-05-12 Cesare Magnetti , Veronika Zimmer , Nooshin Ghavami , Emily Skelton , Jacqueline Matthew , Karen Lloyd , Jo Hajnal , Julia A. Schnabel , Alberto Gomez

Objective: The objective of this work is an attempt towards non-contact freehand 3D ultrasound imaging with minimal complexity added to the existing point of care ultrasound (POCUS) systems. Methods: This study proposes a novel approach of…

Image and Video Processing · Electrical Eng. & Systems 2023-10-09 Antony Jerald , A. N. Madhavanunni , Gayathri Malamal , Mahesh Raveendranatha Panicker

Two-dimensional (2D) freehand ultrasonography is one of the most commonly used medical imaging modalities, particularly in obstetrics and gynaecology. However, it only captures 2D cross-sectional views of inherently 3D anatomies, losing…

Image and Video Processing · Electrical Eng. & Systems 2024-04-17 Mark C. Eid , Pak-Hei Yeung , Madeleine K. Wyburd , João F. Henriques , Ana I. L. Namburete

In this paper, we present SonoSAMTrack - that combines a promptable foundational model for segmenting objects of interest on ultrasound images called SonoSAM, with a state-of-the art contour tracking model to propagate segmentations on 2D+t…

Image and Video Processing · Electrical Eng. & Systems 2023-11-17 Hariharan Ravishankar , Rohan Patil , Vikram Melapudi , Harsh Suthar , Stephan Anzengruber , Parminder Bhatia , Kass-Hout Taha , Pavan Annangi
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